Overview

Dataset statistics

Number of variables25
Number of observations144
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.3 KiB
Average record size in memory236.9 B

Variable types

Numeric24
Categorical1

Alerts

complex_area has constant value "0.0"Constant
water_supply is highly overall correlated with annual_household_incomeHigh correlation
Total_Population is highly overall correlated with Households and 12 other fieldsHigh correlation
Households is highly overall correlated with Total_Population and 11 other fieldsHigh correlation
Population_per_Households is highly overall correlated with Total_Population and 12 other fieldsHigh correlation
Male_Population is highly overall correlated with Total_Population and 12 other fieldsHigh correlation
Female_Population is highly overall correlated with Total_Population and 12 other fieldsHigh correlation
Male_Female_Ratio is highly overall correlated with Population_per_Households and 2 other fieldsHigh correlation
Population_aging_Ratio is highly overall correlated with Total_Population and 12 other fieldsHigh correlation
Num_of_Business is highly overall correlated with Total_Population and 12 other fieldsHigh correlation
Business_above_100 is highly overall correlated with Total_Population and 12 other fieldsHigh correlation
annual_household_income is highly overall correlated with water_supply and 9 other fieldsHigh correlation
High_School_Graduate_num is highly overall correlated with Total_Population and 12 other fieldsHigh correlation
personal_expense is highly overall correlated with Total_Population and 12 other fieldsHigh correlation
benefits_vs_personal_expense is highly overall correlated with Total_Population and 6 other fieldsHigh correlation
employment_ratio is highly overall correlated with Total_Population and 12 other fieldsHigh correlation
employment_insurance_ratio is highly overall correlated with Total_Population and 13 other fieldsHigh correlation
Average_Temp is highly overall correlated with Monthly_Rainfall and 3 other fieldsHigh correlation
Monthly_Rainfall is highly overall correlated with Average_Temp and 3 other fieldsHigh correlation
Average_Relative_Humadity is highly overall correlated with Average_Temp and 3 other fieldsHigh correlation
Ground_Temp is highly overall correlated with Average_Temp and 3 other fieldsHigh correlation
Average_Wind is highly overall correlated with Total_Population and 10 other fieldsHigh correlation
Average_Pressure is highly overall correlated with Average_Temp and 3 other fieldsHigh correlation
water_supply has unique valuesUnique
Population_per_Households has unique valuesUnique
Male_Female_Ratio has unique valuesUnique
Power_usage has unique valuesUnique
employment_ratio has unique valuesUnique
employment_insurance_ratio has unique valuesUnique
Monthly_Rainfall has 2 (1.4%) zerosZeros

Reproduction

Analysis started2023-08-30 02:46:11.311118
Analysis finished2023-08-30 02:46:54.888717
Duration43.58 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

water_supply
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23142.841
Minimum15899.323
Maximum33269.839
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T11:46:54.941294image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum15899.323
5-th percentile17223.145
Q120404.21
median23136.855
Q325648.169
95-th percentile28716.342
Maximum33269.839
Range17370.516
Interquartile range (IQR)5243.9597

Descriptive statistics

Standard deviation3538.1798
Coefficient of variation (CV)0.15288442
Kurtosis-0.34501679
Mean23142.841
Median Absolute Deviation (MAD)2660.4618
Skewness0.12802008
Sum3332569.1
Variance12518717
MonotonicityNot monotonic
2023-08-30T11:46:55.017498image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22084.6129 1
 
0.7%
20041.10714 1
 
0.7%
20371.5 1
 
0.7%
18034.77419 1
 
0.7%
21591.6 1
 
0.7%
22838.32258 1
 
0.7%
21455.96774 1
 
0.7%
20248.42857 1
 
0.7%
19743.70968 1
 
0.7%
25872.66667 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
15899.32258 1
0.7%
16286.32258 1
0.7%
16352.35714 1
0.7%
16737.77419 1
0.7%
16841 1
0.7%
16934.33333 1
0.7%
17033.6 1
0.7%
17187.87097 1
0.7%
17423.03448 1
0.7%
17573.96429 1
0.7%
ValueCountFrequency (%)
33269.83871 1
0.7%
31268.19355 1
0.7%
31063 1
0.7%
29693.68966 1
0.7%
29507 1
0.7%
29003.58065 1
0.7%
28926.03226 1
0.7%
28757.22581 1
0.7%
28484.66667 1
0.7%
28449.29032 1
0.7%

Total_Population
Real number (ℝ)

Distinct143
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66511.153
Minimum56899
Maximum73345
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T11:46:55.098457image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum56899
5-th percentile57419.9
Q159780
median69663.5
Q371236
95-th percentile72247.5
Maximum73345
Range16446
Interquartile range (IQR)11456

Descriptive statistics

Standard deviation5715.7928
Coefficient of variation (CV)0.085937358
Kurtosis-1.3707602
Mean66511.153
Median Absolute Deviation (MAD)2391
Skewness-0.60353317
Sum9577606
Variance32670287
MonotonicityNot monotonic
2023-08-30T11:46:55.175269image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58280 2
 
1.4%
72013 1
 
0.7%
57224 1
 
0.7%
57924 1
 
0.7%
57808 1
 
0.7%
57638 1
 
0.7%
57527 1
 
0.7%
57401 1
 
0.7%
57346 1
 
0.7%
57154 1
 
0.7%
Other values (133) 133
92.4%
ValueCountFrequency (%)
56899 1
0.7%
56968 1
0.7%
57086 1
0.7%
57154 1
0.7%
57224 1
0.7%
57346 1
0.7%
57393 1
0.7%
57401 1
0.7%
57527 1
0.7%
57638 1
0.7%
ValueCountFrequency (%)
73345 1
0.7%
72375 1
0.7%
72370 1
0.7%
72341 1
0.7%
72297 1
0.7%
72279 1
0.7%
72257 1
0.7%
72249 1
0.7%
72239 1
0.7%
72221 1
0.7%

Households
Real number (ℝ)

Distinct141
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24150.25
Minimum20675
Maximum27262
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T11:46:55.255970image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum20675
5-th percentile20889.4
Q122019.25
median25189.5
Q325617.25
95-th percentile26173.2
Maximum27262
Range6587
Interquartile range (IQR)3598

Descriptive statistics

Standard deviation1934.5008
Coefficient of variation (CV)0.080102722
Kurtosis-1.2059145
Mean24150.25
Median Absolute Deviation (MAD)861.5
Skewness-0.64830638
Sum3477636
Variance3742293.2
MonotonicityNot monotonic
2023-08-30T11:46:55.331898image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25134 2
 
1.4%
25239 2
 
1.4%
25278 2
 
1.4%
26178 1
 
0.7%
20739 1
 
0.7%
20969 1
 
0.7%
20903 1
 
0.7%
20860 1
 
0.7%
20829 1
 
0.7%
20768 1
 
0.7%
Other values (131) 131
91.0%
ValueCountFrequency (%)
20675 1
0.7%
20688 1
0.7%
20727 1
0.7%
20739 1
0.7%
20768 1
0.7%
20829 1
0.7%
20860 1
0.7%
20887 1
0.7%
20903 1
0.7%
20969 1
0.7%
ValueCountFrequency (%)
27262 1
0.7%
26523 1
0.7%
26367 1
0.7%
26333 1
0.7%
26194 1
0.7%
26186 1
0.7%
26183 1
0.7%
26178 1
0.7%
26146 1
0.7%
26103 1
0.7%

Population_per_Households
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.752855
Minimum2.6857444
Maximum2.8014067
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T11:46:55.413315image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum2.6857444
5-th percentile2.7067347
Q12.7224176
median2.7539295
Q32.7800321
95-th percentile2.7970415
Maximum2.8014067
Range0.11566222
Interquartile range (IQR)0.057614598

Descriptive statistics

Standard deviation0.031498061
Coefficient of variation (CV)0.011441962
Kurtosis-1.188273
Mean2.752855
Median Absolute Deviation (MAD)0.02965619
Skewness-0.1058006
Sum396.41111
Variance0.00099212782
MonotonicityNot monotonic
2023-08-30T11:46:55.497772image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.7508977 1
 
0.7%
2.756980035 1
 
0.7%
2.7371704 1
 
0.7%
2.739585802 1
 
0.7%
2.748724307 1
 
0.7%
2.752093001 1
 
0.7%
2.751725791 1
 
0.7%
2.753180662 1
 
0.7%
2.755392912 1
 
0.7%
2.755870582 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
2.685744448 1
0.7%
2.690374881 1
0.7%
2.695481184 1
0.7%
2.704572781 1
0.7%
2.705300988 1
0.7%
2.706131355 1
0.7%
2.706413969 1
0.7%
2.706558857 1
0.7%
2.707731261 1
0.7%
2.708404113 1
0.7%
ValueCountFrequency (%)
2.80140667 1
0.7%
2.800261097 1
0.7%
2.799652325 1
0.7%
2.799106966 1
0.7%
2.798949323 1
0.7%
2.798560013 1
0.7%
2.797173535 1
0.7%
2.79705148 1
0.7%
2.796984806 1
0.7%
2.796968378 1
0.7%

Male_Population
Real number (ℝ)

Distinct141
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32491.069
Minimum27786
Maximum36092
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T11:46:55.582447image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum27786
5-th percentile28058.65
Q129287.25
median33970
Q334726.5
95-th percentile35372.85
Maximum36092
Range8306
Interquartile range (IQR)5439.25

Descriptive statistics

Standard deviation2773.4724
Coefficient of variation (CV)0.085361068
Kurtosis-1.3560167
Mean32491.069
Median Absolute Deviation (MAD)1331.5
Skewness-0.5812881
Sum4678714
Variance7692149.2
MonotonicityNot monotonic
2023-08-30T11:46:55.663654image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34211 2
 
1.4%
34223 2
 
1.4%
28423 2
 
1.4%
35357 1
 
0.7%
28022 1
 
0.7%
28198 1
 
0.7%
28134 1
 
0.7%
28085 1
 
0.7%
28054 1
 
0.7%
27946 1
 
0.7%
Other values (131) 131
91.0%
ValueCountFrequency (%)
27786 1
0.7%
27806 1
0.7%
27866 1
0.7%
27901 1
0.7%
27946 1
0.7%
28022 1
0.7%
28040 1
0.7%
28054 1
0.7%
28085 1
0.7%
28134 1
0.7%
ValueCountFrequency (%)
36092 1
0.7%
35487 1
0.7%
35462 1
0.7%
35410 1
0.7%
35400 1
0.7%
35397 1
0.7%
35391 1
0.7%
35373 1
0.7%
35372 1
0.7%
35368 1
0.7%

Female_Population
Real number (ℝ)

Distinct140
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34020.083
Minimum29113
Maximum37253
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T11:46:55.740977image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum29113
5-th percentile29366.35
Q130603.25
median35557
Q336471.25
95-th percentile36879.75
Maximum37253
Range8140
Interquartile range (IQR)5868

Descriptive statistics

Standard deviation2947.5757
Coefficient of variation (CV)0.086642224
Kurtosis-1.381183
Mean34020.083
Median Absolute Deviation (MAD)1219
Skewness-0.61851363
Sum4898892
Variance8688202.3
MonotonicityNot monotonic
2023-08-30T11:46:55.824722image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36882 2
 
1.4%
36731 2
 
1.4%
36686 2
 
1.4%
36021 2
 
1.4%
36656 1
 
0.7%
29347 1
 
0.7%
29324 1
 
0.7%
29278 1
 
0.7%
29253 1
 
0.7%
29220 1
 
0.7%
Other values (130) 130
90.3%
ValueCountFrequency (%)
29113 1
0.7%
29162 1
0.7%
29220 1
0.7%
29253 1
0.7%
29278 1
0.7%
29324 1
0.7%
29347 1
0.7%
29353 1
0.7%
29442 1
0.7%
29487 1
0.7%
ValueCountFrequency (%)
37253 1
0.7%
36941 1
0.7%
36908 1
0.7%
36889 1
0.7%
36888 1
0.7%
36887 1
0.7%
36882 2
1.4%
36867 1
0.7%
36858 1
0.7%
36845 1
0.7%

Male_Female_Ratio
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.95520009
Minimum0.94432393
Maximum0.96909553
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T11:46:55.909109image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.94432393
5-th percentile0.94625453
Q10.94843741
median0.95399474
Q30.96176278
95-th percentile0.96602744
Maximum0.96909553
Range0.024771599
Interquartile range (IQR)0.013325368

Descriptive statistics

Standard deviation0.0071021736
Coefficient of variation (CV)0.0074352731
Kurtosis-1.3610398
Mean0.95520009
Median Absolute Deviation (MAD)0.0061989181
Skewness0.25473287
Sum137.54881
Variance5.0440869 × 10-5
MonotonicityNot monotonic
2023-08-30T11:46:55.992465image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9645624182 1
 
0.7%
0.9628580765 1
 
0.7%
0.9537236913 1
 
0.7%
0.9523134076 1
 
0.7%
0.9535656182 1
 
0.7%
0.9539093812 1
 
0.7%
0.955940982 1
 
0.7%
0.9555995089 1
 
0.7%
0.9545050891 1
 
0.7%
0.953782518 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
0.9443239335 1
0.7%
0.9445107896 1
0.7%
0.9452093443 1
0.7%
0.9452656146 1
0.7%
0.9456285826 1
0.7%
0.9458472687 1
0.7%
0.9461801216 1
0.7%
0.9462289714 1
0.7%
0.9463993684 1
0.7%
0.9464251909 1
0.7%
ValueCountFrequency (%)
0.969095533 1
0.7%
0.9688347247 1
0.7%
0.9668819614 1
0.7%
0.9666638463 1
0.7%
0.9663600821 1
0.7%
0.9662873761 1
0.7%
0.9661685749 1
0.7%
0.9660402771 1
0.7%
0.9659546684 1
0.7%
0.9658634538 1
0.7%

Population_aging_Ratio
Real number (ℝ)

Distinct51
Distinct (%)35.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1174375
Minimum0.089
Maximum0.142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T11:46:56.070523image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.089
5-th percentile0.09115
Q10.10275
median0.1155
Q30.134
95-th percentile0.141
Maximum0.142
Range0.053
Interquartile range (IQR)0.03125

Descriptive statistics

Standard deviation0.017423045
Coefficient of variation (CV)0.14836015
Kurtosis-1.4131548
Mean0.1174375
Median Absolute Deviation (MAD)0.0165
Skewness-0.0070257499
Sum16.911
Variance0.0003035625
MonotonicityNot monotonic
2023-08-30T11:46:56.151730image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.141 11
 
7.6%
0.142 7
 
4.9%
0.108 5
 
3.5%
0.14 5
 
3.5%
0.09 5
 
3.5%
0.132 5
 
3.5%
0.1 4
 
2.8%
0.133 4
 
2.8%
0.139 4
 
2.8%
0.094 4
 
2.8%
Other values (41) 90
62.5%
ValueCountFrequency (%)
0.089 1
 
0.7%
0.09 5
3.5%
0.091 2
 
1.4%
0.092 2
 
1.4%
0.093 4
2.8%
0.094 4
2.8%
0.095 3
2.1%
0.096 2
 
1.4%
0.097 2
 
1.4%
0.099 2
 
1.4%
ValueCountFrequency (%)
0.142 7
4.9%
0.141 11
7.6%
0.14 5
3.5%
0.139 4
 
2.8%
0.138 3
 
2.1%
0.137 1
 
0.7%
0.136 2
 
1.4%
0.135 2
 
1.4%
0.134 2
 
1.4%
0.133 4
 
2.8%

Power_usage
Real number (ℝ)

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33492594
Minimum25712356
Maximum41704000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T11:46:56.232059image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum25712356
5-th percentile28084394
Q130667205
median33205518
Q335976476
95-th percentile40232249
Maximum41704000
Range15991644
Interquartile range (IQR)5309271.8

Descriptive statistics

Standard deviation3512411.8
Coefficient of variation (CV)0.1048713
Kurtosis-0.45632823
Mean33492594
Median Absolute Deviation (MAD)2613524.5
Skewness0.26220592
Sum4.8229335 × 109
Variance1.2337037 × 1013
MonotonicityNot monotonic
2023-08-30T11:46:56.310571image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40459000 1
 
0.7%
37710000 1
 
0.7%
33049086 1
 
0.7%
28048862 1
 
0.7%
29605504 1
 
0.7%
34274847 1
 
0.7%
36769824 1
 
0.7%
36277031 1
 
0.7%
31206183 1
 
0.7%
29372195 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
25712356 1
0.7%
26806531 1
0.7%
26895250 1
0.7%
27620919 1
0.7%
27900499 1
0.7%
27941831 1
0.7%
28007430 1
0.7%
28048862 1
0.7%
28285743 1
0.7%
28406855 1
0.7%
ValueCountFrequency (%)
41704000 1
0.7%
41574000 1
0.7%
41068634 1
0.7%
40858000 1
0.7%
40817171 1
0.7%
40459000 1
0.7%
40391000 1
0.7%
40265822 1
0.7%
40042000 1
0.7%
38994000 1
0.7%

Num_of_Business
Real number (ℝ)

Distinct136
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2380.8125
Minimum1462
Maximum4675
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T11:46:56.391547image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1462
5-th percentile1673.4
Q11950.5
median2446.5
Q32667.5
95-th percentile3088.85
Maximum4675
Range3213
Interquartile range (IQR)717

Descriptive statistics

Standard deviation494.57025
Coefficient of variation (CV)0.20773171
Kurtosis2.6799973
Mean2380.8125
Median Absolute Deviation (MAD)303
Skewness0.81214003
Sum342837
Variance244599.73
MonotonicityNot monotonic
2023-08-30T11:46:56.465086image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2738 2
 
1.4%
2640 2
 
1.4%
2551 2
 
1.4%
2618 2
 
1.4%
2590 2
 
1.4%
1778 2
 
1.4%
1939 2
 
1.4%
2659 2
 
1.4%
2400 1
 
0.7%
2726 1
 
0.7%
Other values (126) 126
87.5%
ValueCountFrequency (%)
1462 1
0.7%
1485 1
0.7%
1551 1
0.7%
1562 1
0.7%
1605 1
0.7%
1620 1
0.7%
1651 1
0.7%
1665 1
0.7%
1721 1
0.7%
1725 1
0.7%
ValueCountFrequency (%)
4675 1
0.7%
4010 1
0.7%
3575 1
0.7%
3401 1
0.7%
3217 1
0.7%
3181 1
0.7%
3121 1
0.7%
3110 1
0.7%
2969 1
0.7%
2967 1
0.7%

Business_above_100
Real number (ℝ)

Distinct34
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.465278
Minimum28
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T11:46:56.540491image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile29.15
Q132
median39
Q347
95-th percentile61
Maximum68
Range40
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.88105
Coefficient of variation (CV)0.23829697
Kurtosis0.13394085
Mean41.465278
Median Absolute Deviation (MAD)7
Skewness0.8111508
Sum5971
Variance97.63515
MonotonicityNot monotonic
2023-08-30T11:46:56.615185image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
30 12
 
8.3%
36 11
 
7.6%
32 10
 
6.9%
37 8
 
5.6%
43 7
 
4.9%
39 7
 
4.9%
29 7
 
4.9%
31 7
 
4.9%
44 7
 
4.9%
38 6
 
4.2%
Other values (24) 62
43.1%
ValueCountFrequency (%)
28 1
 
0.7%
29 7
4.9%
30 12
8.3%
31 7
4.9%
32 10
6.9%
33 1
 
0.7%
34 2
 
1.4%
35 1
 
0.7%
36 11
7.6%
37 8
5.6%
ValueCountFrequency (%)
68 3
2.1%
67 1
 
0.7%
65 2
1.4%
61 3
2.1%
59 1
 
0.7%
58 4
2.8%
57 1
 
0.7%
54 1
 
0.7%
53 3
2.1%
52 2
1.4%

complex_area
Categorical

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0.0
144 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters432
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 144
100.0%

Length

2023-08-30T11:46:56.693383image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-30T11:46:56.766408image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 144
100.0%

Most occurring characters

ValueCountFrequency (%)
0 288
66.7%
. 144
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 288
66.7%
Other Punctuation 144
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 288
100.0%
Other Punctuation
ValueCountFrequency (%)
. 144
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 432
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 288
66.7%
. 144
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 432
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 288
66.7%
. 144
33.3%

annual_household_income
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1440
Minimum1120
Maximum1912
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T11:46:56.813998image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1120
5-th percentile1120
Q11260.25
median1372
Q31622.75
95-th percentile1912
Maximum1912
Range792
Interquartile range (IQR)362.5

Descriptive statistics

Standard deviation260.90172
Coefficient of variation (CV)0.18118175
Kurtosis-0.998465
Mean1440
Median Absolute Deviation (MAD)213
Skewness0.52738759
Sum207360
Variance68069.706
MonotonicityNot monotonic
2023-08-30T11:46:56.880634image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1348 12
8.3%
1366 12
8.3%
1297 12
8.3%
1378 12
8.3%
1139 12
8.3%
1120 12
8.3%
1150 12
8.3%
1405 12
8.3%
1576 12
8.3%
1763 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
1120 12
8.3%
1139 12
8.3%
1150 12
8.3%
1297 12
8.3%
1348 12
8.3%
1366 12
8.3%
1378 12
8.3%
1405 12
8.3%
1576 12
8.3%
1763 12
8.3%
ValueCountFrequency (%)
1912 12
8.3%
1826 12
8.3%
1763 12
8.3%
1576 12
8.3%
1405 12
8.3%
1378 12
8.3%
1366 12
8.3%
1348 12
8.3%
1297 12
8.3%
1150 12
8.3%

High_School_Graduate_num
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1284.4167
Minimum740
Maximum1633
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T11:46:56.946886image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum740
5-th percentile740
Q11091
median1363.5
Q31519
95-th percentile1633
Maximum1633
Range893
Interquartile range (IQR)428

Descriptive statistics

Standard deviation286.75824
Coefficient of variation (CV)0.22325951
Kurtosis-1.02008
Mean1284.4167
Median Absolute Deviation (MAD)213.5
Skewness-0.51820999
Sum184956
Variance82230.287
MonotonicityNot monotonic
2023-08-30T11:46:57.008832image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1633 12
8.3%
1588 12
8.3%
1564 12
8.3%
1479 12
8.3%
1504 12
8.3%
1441 12
8.3%
1286 12
8.3%
1161 12
8.3%
1104 12
8.3%
1052 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
740 12
8.3%
861 12
8.3%
1052 12
8.3%
1104 12
8.3%
1161 12
8.3%
1286 12
8.3%
1441 12
8.3%
1479 12
8.3%
1504 12
8.3%
1564 12
8.3%
ValueCountFrequency (%)
1633 12
8.3%
1588 12
8.3%
1564 12
8.3%
1504 12
8.3%
1479 12
8.3%
1441 12
8.3%
1286 12
8.3%
1161 12
8.3%
1104 12
8.3%
1052 12
8.3%
Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3205885
Minimum1.0378682
Maximum1.4778281
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T11:46:57.069622image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1.0378682
5-th percentile1.0378682
Q11.2660349
median1.3360541
Q31.3890932
95-th percentile1.4778281
Maximum1.4778281
Range0.43995989
Interquartile range (IQR)0.12305827

Descriptive statistics

Standard deviation0.11443701
Coefficient of variation (CV)0.08665607
Kurtosis0.79698924
Mean1.3205885
Median Absolute Deviation (MAD)0.061977589
Skewness-0.96339173
Sum190.16475
Variance0.01309583
MonotonicityNot monotonic
2023-08-30T11:46:57.126081image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.477828054 12
8.3%
1.276527331 12
8.3%
1.385296723 12
8.3%
1.234557596 12
8.3%
1.350089767 12
8.3%
1.322018349 12
8.3%
1.366631243 12
8.3%
1.400482509 12
8.3%
1.317422434 12
8.3%
1.457063712 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
1.037868163 12
8.3%
1.221276596 12
8.3%
1.234557596 12
8.3%
1.276527331 12
8.3%
1.317422434 12
8.3%
1.322018349 12
8.3%
1.350089767 12
8.3%
1.366631243 12
8.3%
1.385296723 12
8.3%
1.400482509 12
8.3%
ValueCountFrequency (%)
1.477828054 12
8.3%
1.457063712 12
8.3%
1.400482509 12
8.3%
1.385296723 12
8.3%
1.366631243 12
8.3%
1.350089767 12
8.3%
1.322018349 12
8.3%
1.317422434 12
8.3%
1.276527331 12
8.3%
1.234557596 12
8.3%

personal_expense
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33853564
Minimum26483809
Maximum43696480
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T11:46:57.183339image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum26483809
5-th percentile26483809
Q130393198
median32789580
Q337405003
95-th percentile43696480
Maximum43696480
Range17212671
Interquartile range (IQR)7011805

Descriptive statistics

Standard deviation5373233.5
Coefficient of variation (CV)0.15871988
Kurtosis-0.94568342
Mean33853564
Median Absolute Deviation (MAD)4206113
Skewness0.39483902
Sum4.8749132 × 109
Variance2.8871638 × 1013
MonotonicityNot monotonic
2023-08-30T11:46:57.241758image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
27139747 12
8.3%
26483809 12
8.3%
28371848 12
8.3%
31274755 12
8.3%
31066981 12
8.3%
32721377 12
8.3%
32857783 12
8.3%
34839779 12
8.3%
36784074 12
8.3%
39267789 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
26483809 12
8.3%
27139747 12
8.3%
28371848 12
8.3%
31066981 12
8.3%
31274755 12
8.3%
32721377 12
8.3%
32857783 12
8.3%
34839779 12
8.3%
36784074 12
8.3%
39267789 12
8.3%
ValueCountFrequency (%)
43696480 12
8.3%
41738346 12
8.3%
39267789 12
8.3%
36784074 12
8.3%
34839779 12
8.3%
32857783 12
8.3%
32721377 12
8.3%
31274755 12
8.3%
31066981 12
8.3%
28371848 12
8.3%
Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.966667
Minimum26.8
Maximum41.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T11:46:57.304484image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum26.8
5-th percentile26.8
Q131.525
median38.05
Q339.325
95-th percentile41.6
Maximum41.6
Range14.8
Interquartile range (IQR)7.8

Descriptive statistics

Standard deviation5.0652801
Coefficient of variation (CV)0.14083263
Kurtosis-1.0651827
Mean35.966667
Median Absolute Deviation (MAD)2.95
Skewness-0.67507755
Sum5179.2
Variance25.657063
MonotonicityNot monotonic
2023-08-30T11:46:57.362915image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
27.9 12
8.3%
26.8 12
8.3%
30.4 12
8.3%
31.9 12
8.3%
38.6 12
8.3%
41.6 12
8.3%
41.4 12
8.3%
38.9 12
8.3%
40.6 12
8.3%
38.3 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
26.8 12
8.3%
27.9 12
8.3%
30.4 12
8.3%
31.9 12
8.3%
37.4 12
8.3%
37.8 12
8.3%
38.3 12
8.3%
38.6 12
8.3%
38.9 12
8.3%
40.6 12
8.3%
ValueCountFrequency (%)
41.6 12
8.3%
41.4 12
8.3%
40.6 12
8.3%
38.9 12
8.3%
38.6 12
8.3%
38.3 12
8.3%
37.8 12
8.3%
37.4 12
8.3%
31.9 12
8.3%
30.4 12
8.3%

employment_ratio
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25352.694
Minimum16624
Maximum31505
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T11:46:58.058502image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum16624
5-th percentile19434.95
Q121460.5
median25630
Q329542.75
95-th percentile30739.85
Maximum31505
Range14881
Interquartile range (IQR)8082.25

Descriptive statistics

Standard deviation4136.1928
Coefficient of variation (CV)0.16314608
Kurtosis-1.3315898
Mean25352.694
Median Absolute Deviation (MAD)4043.5
Skewness-0.13325543
Sum3650788
Variance17108091
MonotonicityNot monotonic
2023-08-30T11:46:58.139033image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16624 1
 
0.7%
17132 1
 
0.7%
28111 1
 
0.7%
28324 1
 
0.7%
28308 1
 
0.7%
27658 1
 
0.7%
29627 1
 
0.7%
29578 1
 
0.7%
29237 1
 
0.7%
29459 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
16624 1
0.7%
17132 1
0.7%
17503 1
0.7%
17676 1
0.7%
17769 1
0.7%
18822 1
0.7%
19374 1
0.7%
19433 1
0.7%
19446 1
0.7%
19536 1
0.7%
ValueCountFrequency (%)
31505 1
0.7%
31388 1
0.7%
31300 1
0.7%
31027 1
0.7%
30921 1
0.7%
30884 1
0.7%
30812 1
0.7%
30740 1
0.7%
30739 1
0.7%
30724 1
0.7%

employment_insurance_ratio
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.38854679
Minimum0.23084721
Maximum0.54070057
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T11:46:58.257676image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.23084721
5-th percentile0.26972365
Q10.30065353
median0.37283283
Q30.48898692
95-th percentile0.52764901
Maximum0.54070057
Range0.30985336
Interquartile range (IQR)0.18833339

Descriptive statistics

Standard deviation0.093136084
Coefficient of variation (CV)0.23970365
Kurtosis-1.4496375
Mean0.38854679
Median Absolute Deviation (MAD)0.076854646
Skewness0.16869058
Sum55.950737
Variance0.0086743302
MonotonicityNot monotonic
2023-08-30T11:46:58.365221image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2308472081 1
 
0.7%
0.2376671661 1
 
0.7%
0.4853083351 1
 
0.7%
0.4899667866 1
 
0.7%
0.4911343211 1
 
0.7%
0.4807829367 1
 
0.7%
0.5161408338 1
 
0.7%
0.5157813971 1
 
0.7%
0.5109219908 1
 
0.7%
0.5154319908 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
0.2308472081 1
0.7%
0.2376671661 1
0.7%
0.2431512558 1
0.7%
0.2453875307 1
0.7%
0.2467299842 1
0.7%
0.2603427528 1
0.7%
0.2680446603 1
0.7%
0.2695732993 1
0.7%
0.2705756307 1
0.7%
0.2707288428 1
0.7%
ValueCountFrequency (%)
0.5407005681 1
0.7%
0.5391459686 1
0.7%
0.5386150881 1
0.7%
0.5327899924 1
0.7%
0.5323781743 1
0.7%
0.5320791124 1
0.7%
0.5307838071 1
0.7%
0.5279491365 1
0.7%
0.5259482921 1
0.7%
0.5249797787 1
0.7%

Average_Temp
Real number (ℝ)

Distinct115
Distinct (%)79.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.974306
Minimum-7.2
Maximum28.8
Zeros0
Zeros (%)0.0%
Negative23
Negative (%)16.0%
Memory size6.3 KiB
2023-08-30T11:46:58.477075image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum-7.2
5-th percentile-2.74
Q13.375
median14.15
Q322.6
95-th percentile26.84
Maximum28.8
Range36
Interquartile range (IQR)19.225

Descriptive statistics

Standard deviation10.269009
Coefficient of variation (CV)0.79148817
Kurtosis-1.3458001
Mean12.974306
Median Absolute Deviation (MAD)8.95
Skewness-0.16407331
Sum1868.3
Variance105.45255
MonotonicityNot monotonic
2023-08-30T11:46:58.581020image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.8 3
 
2.1%
21.8 3
 
2.1%
-0.9 3
 
2.1%
23.1 3
 
2.1%
25.9 3
 
2.1%
14.2 2
 
1.4%
1.4 2
 
1.4%
24.1 2
 
1.4%
22.1 2
 
1.4%
15.6 2
 
1.4%
Other values (105) 119
82.6%
ValueCountFrequency (%)
-7.2 1
0.7%
-4.5 1
0.7%
-4.1 1
0.7%
-4 1
0.7%
-3.4 1
0.7%
-3.2 1
0.7%
-2.9 1
0.7%
-2.8 1
0.7%
-2.4 1
0.7%
-2 1
0.7%
ValueCountFrequency (%)
28.8 1
0.7%
28.1 1
0.7%
28 1
0.7%
27.8 1
0.7%
27.7 1
0.7%
27.2 1
0.7%
27.1 1
0.7%
26.9 1
0.7%
26.5 2
1.4%
26.3 1
0.7%

Monthly_Rainfall
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct137
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.91528
Minimum0
Maximum1131
Zeros2
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T11:46:58.692192image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.115
Q125.375
median60.8
Q3130.475
95-th percentile442.24
Maximum1131
Range1131
Interquartile range (IQR)105.1

Descriptive statistics

Standard deviation159.6245
Coefficient of variation (CV)1.439157
Kurtosis14.428819
Mean110.91528
Median Absolute Deviation (MAD)44.25
Skewness3.3877616
Sum15971.8
Variance25479.98
MonotonicityNot monotonic
2023-08-30T11:46:58.800043image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29.1 2
 
1.4%
104.6 2
 
1.4%
0 2
 
1.4%
7.9 2
 
1.4%
25.6 2
 
1.4%
7.1 2
 
1.4%
16.1 2
 
1.4%
29.3 1
 
0.7%
26.5 1
 
0.7%
40.7 1
 
0.7%
Other values (127) 127
88.2%
ValueCountFrequency (%)
0 2
1.4%
0.8 1
0.7%
1 1
0.7%
4.6 1
0.7%
6.7 1
0.7%
7.1 2
1.4%
7.2 1
0.7%
7.9 2
1.4%
8.2 1
0.7%
8.5 1
0.7%
ValueCountFrequency (%)
1131 1
0.7%
676.2 1
0.7%
675.7 1
0.7%
671.5 1
0.7%
621 1
0.7%
598.7 1
0.7%
464.9 1
0.7%
448.9 1
0.7%
404.5 1
0.7%
358.2 1
0.7%

Average_Relative_Humadity
Real number (ℝ)

Distinct34
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.60208333
Minimum0.43
Maximum0.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T11:46:58.901529image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.43
5-th percentile0.4715
Q10.54
median0.59
Q30.65
95-th percentile0.74
Maximum0.85
Range0.42
Interquartile range (IQR)0.11

Descriptive statistics

Standard deviation0.084868265
Coefficient of variation (CV)0.14095767
Kurtosis-0.24595549
Mean0.60208333
Median Absolute Deviation (MAD)0.05
Skewness0.45355222
Sum86.7
Variance0.0072026224
MonotonicityNot monotonic
2023-08-30T11:46:58.996115image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0.54 10
 
6.9%
0.56 10
 
6.9%
0.58 9
 
6.2%
0.61 8
 
5.6%
0.59 8
 
5.6%
0.55 7
 
4.9%
0.74 6
 
4.2%
0.63 6
 
4.2%
0.6 6
 
4.2%
0.57 6
 
4.2%
Other values (24) 68
47.2%
ValueCountFrequency (%)
0.43 1
 
0.7%
0.45 2
 
1.4%
0.46 3
2.1%
0.47 2
 
1.4%
0.48 3
2.1%
0.49 2
 
1.4%
0.5 2
 
1.4%
0.51 5
3.5%
0.52 5
3.5%
0.53 2
 
1.4%
ValueCountFrequency (%)
0.85 1
 
0.7%
0.79 2
 
1.4%
0.78 1
 
0.7%
0.77 3
2.1%
0.74 6
4.2%
0.73 3
2.1%
0.72 1
 
0.7%
0.71 5
3.5%
0.7 2
 
1.4%
0.69 4
2.8%

Ground_Temp
Real number (ℝ)

Distinct118
Distinct (%)81.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.661111
Minimum-4.7
Maximum31.9
Zeros1
Zeros (%)0.7%
Negative19
Negative (%)13.2%
Memory size6.3 KiB
2023-08-30T11:46:59.099322image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum-4.7
5-th percentile-1.385
Q14.525
median15.8
Q325.125
95-th percentile28.87
Maximum31.9
Range36.6
Interquartile range (IQR)20.6

Descriptive statistics

Standard deviation11.070285
Coefficient of variation (CV)0.75507816
Kurtosis-1.4584085
Mean14.661111
Median Absolute Deviation (MAD)10.05
Skewness-0.12499414
Sum2111.2
Variance122.5512
MonotonicityNot monotonic
2023-08-30T11:46:59.204429image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28.3 4
 
2.8%
28.2 3
 
2.1%
1.6 3
 
2.1%
-0.4 3
 
2.1%
1 2
 
1.4%
8.1 2
 
1.4%
-0.7 2
 
1.4%
29.7 2
 
1.4%
25.1 2
 
1.4%
26.5 2
 
1.4%
Other values (108) 119
82.6%
ValueCountFrequency (%)
-4.7 1
0.7%
-2.8 1
0.7%
-2.3 1
0.7%
-2 2
1.4%
-1.9 1
0.7%
-1.5 1
0.7%
-1.4 1
0.7%
-1.3 1
0.7%
-1.2 1
0.7%
-1.1 1
0.7%
ValueCountFrequency (%)
31.9 1
0.7%
31.8 1
0.7%
31.3 1
0.7%
29.7 2
1.4%
29.5 1
0.7%
29.2 1
0.7%
28.9 1
0.7%
28.7 1
0.7%
28.6 1
0.7%
28.4 1
0.7%

Average_Wind
Real number (ℝ)

Distinct21
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4111111
Minimum1.4
Maximum3.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T11:46:59.304495image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1.4
5-th percentile1.7
Q12.1
median2.4
Q32.7
95-th percentile3.1
Maximum3.5
Range2.1
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.42444717
Coefficient of variation (CV)0.176038
Kurtosis-0.033290115
Mean2.4111111
Median Absolute Deviation (MAD)0.3
Skewness0.18502206
Sum347.2
Variance0.1801554
MonotonicityNot monotonic
2023-08-30T11:46:59.388838image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2.4 20
13.9%
2.1 17
11.8%
2.3 14
9.7%
2.2 11
 
7.6%
2.5 10
 
6.9%
2.8 10
 
6.9%
2.7 9
 
6.2%
2.6 8
 
5.6%
2.9 7
 
4.9%
3 6
 
4.2%
Other values (11) 32
22.2%
ValueCountFrequency (%)
1.4 1
 
0.7%
1.5 2
 
1.4%
1.6 2
 
1.4%
1.7 4
 
2.8%
1.8 5
 
3.5%
1.9 4
 
2.8%
2 5
 
3.5%
2.1 17
11.8%
2.2 11
7.6%
2.3 14
9.7%
ValueCountFrequency (%)
3.5 1
 
0.7%
3.4 4
 
2.8%
3.2 2
 
1.4%
3.1 2
 
1.4%
3 6
4.2%
2.9 7
4.9%
2.8 10
6.9%
2.7 9
6.2%
2.6 8
5.6%
2.5 10
6.9%

Average_Pressure
Real number (ℝ)

Distinct105
Distinct (%)72.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1006.0812
Minimum995.3
Maximum1016.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-08-30T11:46:59.490627image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum995.3
5-th percentile996.715
Q1999.475
median1007.1
Q31012.225
95-th percentile1015.07
Maximum1016.8
Range21.5
Interquartile range (IQR)12.75

Descriptive statistics

Standard deviation6.5182795
Coefficient of variation (CV)0.0064788798
Kurtosis-1.4232997
Mean1006.0812
Median Absolute Deviation (MAD)5.85
Skewness-0.0990811
Sum144875.7
Variance42.487968
MonotonicityNot monotonic
2023-08-30T11:46:59.592676image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1010.7 6
 
4.2%
998.6 4
 
2.8%
1003.3 3
 
2.1%
996.9 3
 
2.1%
997.7 3
 
2.1%
996 3
 
2.1%
1009.1 2
 
1.4%
1002.6 2
 
1.4%
998.9 2
 
1.4%
996.8 2
 
1.4%
Other values (95) 114
79.2%
ValueCountFrequency (%)
995.3 1
 
0.7%
996 3
2.1%
996.2 2
1.4%
996.4 1
 
0.7%
996.7 1
 
0.7%
996.8 2
1.4%
996.9 3
2.1%
997.2 2
1.4%
997.3 1
 
0.7%
997.4 1
 
0.7%
ValueCountFrequency (%)
1016.8 1
0.7%
1016.7 1
0.7%
1016.1 1
0.7%
1015.9 1
0.7%
1015.4 1
0.7%
1015.3 1
0.7%
1015.1 2
1.4%
1014.9 1
0.7%
1014.8 1
0.7%
1014.7 1
0.7%

Interactions

2023-08-30T11:46:52.875002image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:11.695084image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:13.367446image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:15.287349image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:16.945292image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:18.570819image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:20.421457image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:22.209679image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:23.823956image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:25.654417image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:28.006810image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:29.653101image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:31.214127image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:32.988360image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:35.102878image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:36.829148image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:38.581672image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:40.360680image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:42.046757image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:43.768273image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:46.281320image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:47.929655image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:49.487702image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:51.093015image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:52.941517image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:11.791549image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:13.429928image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:15.367391image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:17.012010image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:18.640678image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:20.513171image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:22.286672image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:23.890335image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:25.771572image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:28.071880image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:29.717126image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:31.276478image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:33.059425image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:35.163564image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:36.924679image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:38.649526image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:40.432204image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:42.118008image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:43.883136image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:46.346445image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:48.004459image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:49.552702image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:51.182550image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:53.003660image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:11.858260image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:13.495212image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:15.427712image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:17.074274image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:18.702969image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:20.587253image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:22.358056image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:23.960242image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:25.861896image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:28.146598image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:29.779226image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:31.337119image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:33.125480image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:35.263843image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:37.010768image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:38.715991image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:40.498500image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:42.190937image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:43.961144image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:46.410734image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:48.067904image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:49.621971image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:51.269087image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:53.102446image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:11.922692image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:13.559701image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:15.492949image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:17.142156image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:18.764113image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:20.653093image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:22.427413image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:24.041378image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:25.944141image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:28.219560image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:29.840936image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:31.401762image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:33.219956image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:35.329367image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:37.092357image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:38.787884image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:40.565022image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:42.259450image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:44.063638image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:46.478245image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:48.133817image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:49.700877image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:51.334480image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:53.168408image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:11.988153image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:13.970807image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:15.557564image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:17.210160image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:18.825949image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:20.719465image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:22.492519image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:24.122584image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:26.430870image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:28.293470image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:29.904906image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:31.465445image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:33.287033image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:35.429317image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:37.163134image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:38.857056image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:40.632681image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:42.326084image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:44.147569image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:46.542198image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:48.197351image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:49.774049image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:51.401780image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:53.240824image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:12.051098image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:14.030898image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:15.618465image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:17.270905image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:18.882127image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:20.781916image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:22.551122image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:24.184536image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:26.498709image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:28.360959image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:29.974640image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:31.523927image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:33.348342image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:35.516582image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:37.223485image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:38.923695image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:40.695403image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:42.385538image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:44.214113image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:46.610458image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:48.259997image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:49.839189image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:51.460166image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:53.333240image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:12.122089image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:14.100822image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:15.690547image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:17.341915image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:19.307789image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:20.863829image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:22.619095image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:24.256111image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:26.577001image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:28.438736image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:30.044712image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:31.610615image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:33.418423image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:35.589271image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:37.298209image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:38.997586image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:40.770534image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:42.459859image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:44.337674image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:46.677729image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:48.354879image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:49.907295image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:51.535715image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:53.421200image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:12.184932image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:14.162620image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:15.753942image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:17.404865image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:19.372296image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:20.935039image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:22.686623image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:24.319181image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:26.644862image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:28.508053image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:30.116447image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:31.679834image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:33.491387image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:35.652959image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:37.363884image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:39.067002image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:40.839723image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:42.524440image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:44.439591image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:46.739344image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:48.415707image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:49.971634image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:51.629308image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:53.494823image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:12.254910image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:14.224771image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:15.817578image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:17.467746image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:19.435905image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:21.002310image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:22.747408image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:24.382513image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:26.713478image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:28.575900image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:30.180925image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:31.748221image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:33.561255image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:35.717123image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:37.449661image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:39.156451image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:40.913314image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:42.606010image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:44.511913image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:46.804621image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:48.476957image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:50.034264image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:51.690746image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:53.565795image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:12.348406image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:14.298153image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:15.896298image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:17.535048image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:19.505384image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:21.079554image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:22.825901image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:24.499255image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:26.795904image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:28.646400image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:30.252837image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:31.823640image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:33.632583image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:35.788594image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:37.519551image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:39.240361image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:40.996581image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:42.679542image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:44.587279image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:46.874248image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:48.545786image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:50.103492image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:51.765389image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:53.631838image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:12.416185image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:14.363248image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:15.968028image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:17.596153image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:19.565369image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:21.150589image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:22.896315image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:24.566100image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:26.865591image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:28.707874image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:30.317925image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:31.893975image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:33.699604image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:35.855819image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:37.594951image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:39.319068image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:41.078613image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:42.750177image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:44.657190image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:46.942060image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:48.607356image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:50.165800image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:51.830436image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:53.695881image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:12.490355image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:14.430583image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:16.037310image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:17.661557image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:19.636159image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:21.219120image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:22.964926image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:24.637254image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:26.939232image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:28.772851image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:30.384816image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:31.966729image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:33.771605image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:35.927985image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:37.664087image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:39.389203image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:41.151707image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:42.820267image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:44.730963image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:47.024716image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:48.671693image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:50.237325image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:51.899494image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:53.762567image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:12.569226image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:14.501115image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:16.109900image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:17.727948image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:19.704256image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:21.301235image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:23.032181image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:24.760893image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:27.016691image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:28.843066image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:30.455571image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:32.042872image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:33.854716image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:35.996828image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:37.743860image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:39.456420image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:41.221726image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:42.900803image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:44.819329image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:47.099046image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:48.737278image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:50.312353image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:51.992590image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:53.825565image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:12.631687image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:14.559130image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:16.173119image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:17.789950image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:19.763026image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:21.376988image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:23.100391image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:24.826257image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:27.121488image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:28.915123image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:30.522411image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:32.139782image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:33.951305image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:36.056916image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:37.806126image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:39.517207image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:41.286793image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:42.962320image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:44.887008image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:47.168819image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:48.798556image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:50.374105image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:52.077703image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:53.884048image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:12.692748image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:14.618809image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:16.243318image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:17.890868image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:19.818250image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:21.448435image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:23.162666image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:24.889416image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:27.226430image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:28.976471image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:30.581191image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:32.212460image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:34.010056image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:36.115150image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:37.873368image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:39.600810image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:41.347146image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:43.030160image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:44.992327image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:47.234633image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:48.864267image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:50.433464image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:52.155301image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:53.954177image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:12.760969image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:14.702230image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:16.311173image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:17.970404image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:19.877439image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:21.521738image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:23.230944image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:24.955824image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:27.295345image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:29.049423image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:30.646952image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:32.294541image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:34.076339image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:36.185604image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:37.958984image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:39.673180image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:41.415766image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:43.104842image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:45.063055image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:47.306240image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:48.930643image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:50.502279image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:52.250236image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:54.023092image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:12.840811image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:14.774691image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:16.378228image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:18.042929image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:19.943931image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:21.592498image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:23.295870image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:25.027948image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:27.365025image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:29.132170image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:30.713428image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:32.409165image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:34.140362image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:36.249410image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:38.031901image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:39.754300image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:41.487621image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:43.173923image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:45.155848image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:47.371823image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:48.994675image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:50.571934image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:52.318839image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:54.093399image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:12.909882image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:14.846050image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:16.446463image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:18.114326image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:20.009314image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:21.665368image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:23.373281image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:25.098477image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:27.444871image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:29.201727image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:30.784566image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:32.484900image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:34.210255image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:36.316267image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:38.108552image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:39.828590image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:41.569148image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:43.245879image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:45.243531image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:47.454322image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:49.058541image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:50.642895image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:52.403667image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:54.173512image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:12.978609image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:14.910477image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:16.565092image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:18.181010image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:20.073524image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:21.742295image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:23.436765image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:25.170176image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:27.538264image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:29.269054image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:30.847385image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:32.554203image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:34.275175image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:36.382890image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:38.174923image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:39.914360image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:41.641639image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:43.322316image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:45.321246image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:47.518121image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:49.122778image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:50.707826image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:52.470768image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:54.239290image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:13.046281image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:14.984282image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:16.635043image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:18.245466image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:20.136251image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:21.819727image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:23.500635image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:25.242667image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:27.619668image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:29.336390image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:30.911943image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:32.632725image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:34.341201image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:36.459060image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:38.248451image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:40.013765image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:41.712257image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:43.413627image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:45.952708image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:47.596853image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:49.186284image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:50.772876image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:52.547392image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:54.298297image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:13.108202image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:15.045644image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:16.701133image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:18.314965image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:20.191331image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:21.889486image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:23.580700image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:25.310792image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:27.703712image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:29.399463image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:30.970578image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:32.700092image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:34.400974image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:36.528507image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:38.311035image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:40.102529image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:41.778599image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:43.494524image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:46.018988image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:47.655157image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:49.245726image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:50.834868image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:52.617451image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:54.356994image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:13.165471image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:15.102264image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:16.761283image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:18.374703image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:20.243278image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:21.975640image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:23.643483image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:25.373394image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:27.800069image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:29.467670image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:31.029929image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:32.762028image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:34.928218image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:36.590407image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:38.375879image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:40.161540image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:41.846067image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:43.561158image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:46.083277image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:47.714867image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:49.310586image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:50.896718image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:52.683755image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:54.419883image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:13.231842image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:15.168513image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:16.829989image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:18.444983image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:20.298857image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:22.055629image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:23.708614image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:25.487152image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:27.867937image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:29.534504image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:31.093884image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:32.838251image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:34.989270image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:36.697990image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:38.444916image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:40.231679image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:41.914644image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:43.635250image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:46.156442image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:47.802791image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:49.375333image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:50.960659image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:52.746506image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:54.477447image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:13.301006image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:15.226231image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:16.886142image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:18.509232image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:20.355537image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:22.137480image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:23.763657image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:25.569401image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:27.941500image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:29.596241image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:31.155677image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:32.901189image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:35.045567image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:36.760325image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:38.510629image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:40.291943image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:41.980921image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:43.700231image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:46.219874image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:47.867608image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:49.432079image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:51.022907image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-30T11:46:52.808838image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Correlations

2023-08-30T11:46:59.687526image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
water_supplyTotal_PopulationHouseholdsPopulation_per_HouseholdsMale_PopulationFemale_PopulationMale_Female_RatioPopulation_aging_RatioPower_usageNum_of_BusinessBusiness_above_100annual_household_incomeHigh_School_Graduate_numHigh_School_Graduate_ratiopersonal_expensebenefits_vs_personal_expenseemployment_ratioemployment_insurance_ratioAverage_TempMonthly_RainfallAverage_Relative_HumadityGround_TempAverage_WindAverage_Pressure
water_supply1.0000.3820.3520.3680.3620.395-0.392-0.4390.094-0.320-0.414-0.5570.4600.123-0.467-0.005-0.443-0.4500.1940.0010.0530.2300.420-0.237
Total_Population0.3821.0000.9600.5860.9950.996-0.042-0.8020.390-0.724-0.686-0.4640.787-0.004-0.789-0.672-0.847-0.938-0.075-0.0410.048-0.0800.653-0.004
Households0.3520.9601.0000.4190.9740.9470.074-0.6780.361-0.590-0.531-0.3610.653-0.069-0.650-0.648-0.749-0.876-0.0410.0100.101-0.0500.590-0.024
Population_per_Households0.3680.5860.4191.0000.5450.610-0.507-0.7990.266-0.794-0.916-0.6420.7860.095-0.796-0.286-0.771-0.703-0.0210.011-0.094-0.0130.532-0.067
Male_Population0.3620.9950.9740.5451.0000.9860.014-0.7690.385-0.690-0.646-0.4180.751-0.024-0.752-0.692-0.823-0.925-0.069-0.0260.067-0.0750.632-0.006
Female_Population0.3950.9960.9470.6100.9861.000-0.089-0.8170.395-0.740-0.714-0.4900.8010.001-0.806-0.652-0.858-0.942-0.086-0.0600.022-0.0910.6600.010
Male_Female_Ratio-0.392-0.0420.074-0.5070.014-0.0891.0000.339-0.0600.2410.4780.767-0.341-0.1930.350-0.5270.3170.2200.0150.1050.138-0.009-0.2410.000
Population_aging_Ratio-0.439-0.802-0.678-0.799-0.769-0.8170.3391.000-0.4280.9380.8770.672-0.987-0.3590.9810.4860.9630.9130.0660.0240.0890.055-0.5590.034
Power_usage0.0940.3900.3610.2660.3850.395-0.060-0.4281.000-0.434-0.351-0.2190.3940.165-0.391-0.264-0.449-0.434-0.079-0.0190.076-0.1040.1570.065
Num_of_Business-0.320-0.724-0.590-0.794-0.690-0.7400.2410.938-0.4341.0000.8520.549-0.921-0.3190.9180.5210.8860.8200.1200.0570.1560.119-0.496-0.011
Business_above_100-0.414-0.686-0.531-0.916-0.646-0.7140.4780.877-0.3510.8521.0000.624-0.855-0.0850.8680.3860.8710.8110.0850.0520.1280.075-0.5800.007
annual_household_income-0.557-0.464-0.361-0.642-0.418-0.4900.7670.672-0.2190.5490.6241.000-0.706-0.3640.699-0.2240.6380.5990.0110.0700.046-0.006-0.4440.015
High_School_Graduate_num0.4600.7870.6530.7860.7510.801-0.341-0.9870.394-0.921-0.855-0.7061.0000.392-0.993-0.462-0.945-0.896-0.050-0.024-0.055-0.0440.535-0.027
High_School_Graduate_ratio0.123-0.004-0.0690.095-0.0240.001-0.193-0.3590.165-0.319-0.085-0.3640.3921.000-0.3360.063-0.220-0.108-0.015-0.046-0.1520.002-0.088-0.015
personal_expense-0.467-0.789-0.650-0.796-0.752-0.8060.3500.981-0.3910.9180.8680.699-0.993-0.3361.0000.4690.9360.8890.0500.0330.0680.043-0.5440.024
benefits_vs_personal_expense-0.005-0.672-0.648-0.286-0.692-0.652-0.5270.486-0.2640.5210.386-0.224-0.4620.0630.4691.0000.4920.5630.046-0.055-0.0390.062-0.3420.027
employment_ratio-0.443-0.847-0.749-0.771-0.823-0.8580.3170.963-0.4490.8860.8710.638-0.945-0.2200.9360.4921.0000.9670.0830.0240.0400.078-0.6040.009
employment_insurance_ratio-0.450-0.938-0.876-0.703-0.925-0.9420.2200.913-0.4340.8200.8110.599-0.896-0.1080.8890.5630.9671.0000.0660.011-0.0290.066-0.6480.015
Average_Temp0.194-0.075-0.041-0.021-0.069-0.0860.0150.066-0.0790.1200.0850.011-0.050-0.0150.0500.0460.0830.0661.0000.7320.6850.991-0.191-0.909
Monthly_Rainfall0.001-0.0410.0100.011-0.026-0.0600.1050.024-0.0190.0570.0520.070-0.024-0.0460.033-0.0550.0240.0110.7321.0000.7160.703-0.109-0.707
Average_Relative_Humadity0.0530.0480.101-0.0940.0670.0220.1380.0890.0760.1560.1280.046-0.055-0.1520.068-0.0390.040-0.0290.6850.7161.0000.637-0.210-0.563
Ground_Temp0.230-0.080-0.050-0.013-0.075-0.091-0.0090.055-0.1040.1190.075-0.006-0.0440.0020.0430.0620.0780.0660.9910.7030.6371.000-0.167-0.922
Average_Wind0.4200.6530.5900.5320.6320.660-0.241-0.5590.157-0.496-0.580-0.4440.535-0.088-0.544-0.342-0.604-0.648-0.191-0.109-0.210-0.1671.0000.001
Average_Pressure-0.237-0.004-0.024-0.067-0.0060.0100.0000.0340.065-0.0110.0070.015-0.027-0.0150.0240.0270.0090.015-0.909-0.707-0.563-0.9220.0011.000

Missing values

2023-08-30T11:46:54.590577image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
A simple visualization of nullity by column.
2023-08-30T11:46:54.795992image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

water_supplyTotal_PopulationHouseholdsPopulation_per_HouseholdsMale_PopulationFemale_PopulationMale_Female_RatioPopulation_aging_RatioPower_usageNum_of_BusinessBusiness_above_100complex_areaannual_household_incomeHigh_School_Graduate_numHigh_School_Graduate_ratiopersonal_expensebenefits_vs_personal_expenseemployment_ratioemployment_insurance_ratioAverage_TempMonthly_RainfallAverage_Relative_HumadityGround_TempAverage_WindAverage_Pressure
date
2010-01-0122084.61290372013.026178.02.75089835357.036656.00.9645620.08940459000.01462.032.00.01348.01633.01.47782827139747.027.916624.00.230847-4.529.30.65-1.22.31013.6
2010-02-0120041.10714372084.026146.02.75698035360.036724.00.9628580.09037710000.01562.031.00.01348.01633.01.47782827139747.027.917132.00.2376671.455.30.591.42.41010.7
2010-03-0121029.61290371984.026066.02.76160535297.036687.00.9621120.09034089000.01605.032.00.01348.01633.01.47782827139747.027.917503.00.2431514.382.50.595.02.91009.6
2010-04-0124929.53333372033.026076.02.76242535302.036731.00.9610960.09034580000.01768.034.00.01348.01633.01.47782827139747.027.917676.00.2453889.562.80.5410.82.91007.4
2010-05-0124871.22580672018.026044.02.76524335287.036731.00.9606870.09032729000.01721.034.00.01348.01633.01.47782827139747.027.917769.00.24673017.2124.00.6218.72.61000.6
2010-06-0126350.70000072088.026067.02.76548935321.036767.00.9606710.09034811000.01814.038.00.01348.01633.01.47782827139747.027.919433.00.26957323.4127.60.6226.12.1999.5
2010-07-0125316.03225872019.026032.02.76655735301.036718.00.9614090.09138587000.01620.036.00.01348.01633.01.47782827139747.027.919536.00.27126225.8239.20.7427.62.5997.7
2010-08-0124481.41935571951.025998.02.76755935279.036672.00.9620150.09141704000.01728.039.00.01348.01633.01.47782827139747.027.919617.00.27264426.5598.70.7828.32.41000.3
2010-09-0121485.93333371869.025923.02.77240335252.036617.00.9627220.09237424000.01782.040.00.01348.01633.01.47782827139747.027.919446.00.27057621.8671.50.7223.72.31003.4
2010-10-0124923.19354872375.026367.02.74490835487.036888.00.9620200.09232271000.01871.039.00.01348.01633.01.47782827139747.027.919594.00.27072914.525.60.6115.92.21008.9
water_supplyTotal_PopulationHouseholdsPopulation_per_HouseholdsMale_PopulationFemale_PopulationMale_Female_RatioPopulation_aging_RatioPower_usageNum_of_BusinessBusiness_above_100complex_areaannual_household_incomeHigh_School_Graduate_numHigh_School_Graduate_ratiopersonal_expensebenefits_vs_personal_expenseemployment_ratioemployment_insurance_ratioAverage_TempMonthly_RainfallAverage_Relative_HumadityGround_TempAverage_WindAverage_Pressure
date
2021-03-0124769.87096868399.025239.02.71005233581.034818.00.9644720.14130105002.02967.058.00.01826.0740.01.03786843696480.037.829854.00.4364689.0110.90.639.72.41009.2
2021-04-0119842.90000068955.025477.02.70655933846.035109.00.9640260.14129025001.02958.057.00.01826.0740.01.03786843696480.037.829945.00.43426914.2124.10.5415.72.61007.9
2021-05-0119322.64516169027.025441.02.71321933887.035140.00.9643430.14027620919.03110.058.00.01826.0740.01.03786843696480.037.829982.00.43435217.1183.10.6818.82.4998.9
2021-06-0125385.63333369276.025543.02.71213234036.035240.00.9658340.14130595759.03181.059.00.01826.0740.01.03786843696480.037.830175.00.43557722.8104.60.7325.22.2997.7
2021-07-0123083.74193569509.025648.02.71011434151.035358.00.9658630.14136040906.03121.061.00.01826.0740.01.03786843696480.037.830171.00.43405928.1168.30.7129.72.0998.1
2021-08-0123460.22580669640.025706.02.70909534223.035417.00.9662870.14140265822.04675.061.00.01826.0740.01.03786843696480.037.830007.00.43088725.9211.20.7428.22.1998.6
2021-09-0122080.83333369732.025783.02.70457334275.035457.00.9666640.14233266036.03401.065.00.01826.0740.01.03786843696480.037.830247.00.43376122.6131.00.7124.62.31003.4
2021-10-0119527.25806569910.025936.02.69548134357.035553.00.9663600.14230083875.03575.067.00.01826.0740.01.03786843696480.037.829540.00.42254315.657.00.7016.72.11011.0
2021-11-0118957.93333371234.026523.02.68574435058.036176.00.9690960.14231682548.04010.068.00.01826.0740.01.03786843696480.037.829567.00.4150698.262.40.687.92.11009.1
2021-12-0118965.03225873345.027262.02.69037536092.037253.00.9688350.14135822808.03217.068.00.01826.0740.01.03786843696480.037.829444.00.4014450.67.90.620.82.31014.4